Biostatistician Data Scientist Riverside University Health System

• Experience Biostatistician in complex statistical analysis and advanced biostatistical models
• Ph.D. with emphasis in research and advanced statistics.
• History of research and publications in medical biomedical and epidemiology research.
• Experience in Population Health Research.

Meet the Team!
Founded in 1893 Riverside University Health System Medical Center has grown into a cornerstone of healthcare excellence and medical education in the region. Our highly skilled healthcare professionals and dedicated support staff are committed to delivering exceptional state-of-the-art care to the diverse populations of Riverside County.

Located in Moreno Valley our 439-bed Medical Center is home to a Level I Trauma Center a Level II Pediatric Trauma Center and the countys only Pediatric Intensive Care Unit (PICU). If youre passionate about making a meaningful difference and helping others RUHS Medical Center is the place for you!

For more information about RUHS Medical Center please visit

• Consultation with potential researchers on study design (variables data and data sources)
• Designs organizes and develops research plans on Medical topics
• Development and maintenance of data capture tools including creating surveys developing forms and procedures and conducting interviews and focus groups
• Writing queries to extract data from local data sources including electronic health records
• Extracting data from national datasets
• Evaluating quality of datasets and manipulation into a usable form
• Running assumption tests in configuring and recoding the data to match the clients needs and address his/her hypothesis
• Conducting Univariate and Multinomial Logistic Regression Analysis and propensity scoring methods
• Research alternate statistical techniques to improve existing processes
• Configuring tables and charts
• Helping prepare manuscripts for presentation and publication including authoring and editing the methods and results sections of abstracts and manuscripts
• Presentation of results to stakeholders and in professional conferences

Education: Graduation from an accredited college or university with a bachelors degree in a field of applied research such as data science computer science mathematics statistics business analytics psychology software engineering management information systems finance statistics or a closely related field to the assignment that included 12 semester or 18 quarter units of coursework in data science predicative analytics quantitative research methods or statistical analysis. (A masters degree from an accredited college or university in a related field may substitute for one year of the required experience. A PhD in a related field may substitute for two years of the required experience.)

Experience: Two years of applying machine learning predictive analytics data management and hypothesis-driven data analysis to produce actionable recommendations to support data driven program policy and operational decision-making.

Knowledge of: Data extraction transformation and loading (ETL) techniques; programming languages such as R SAS Python and/or SQL; data visualization tools such as Tableau and PowerBi; one or more of advanced Machine Learning techniques such as Classification Prediction Recommender Systems Anomaly Detection or Optimization; cloud computing platforms such as AWS Google Cloud or Azure; version control systems; basic understanding of natural language processing (NLP); security and confidentiality requirements for handling sensitive data; classical statistical analysis methodology and machine learning including predictive and prescriptive modeling and optimization.

Ability to: Visualize data to generate critical information and knowledge and effectively communicate findings to technical and nontechnical stakeholders to support data-driven program design management and decision-making; apply machine learning techniques to big data systems (e.g. Spark and Hadoop) to largescale datasets; write SQL code using multiple tools such as SQL Server Management Studio or GUI programs that assist with developing queries and reports; organize synthesize and analyze large amounts of information; learn and adapt to new artificial intelligence and machine learning technologies and techniques; organize synthesize and analyze large amounts of information; manage multiple deadlines and priorities efficiently; and work collaboratively as part of a team.

For questions regarding this recruitment
Please contact Jeremy Holforty a or. Please allow 1-2 business days for a response to general inquiries.

APPLICATION INFORMATION

Veterans Preference
The County has a Veterans Preference Policy applicable to new hires. To qualify upload a copy of your (or your spouses) Member-4 Form DD-214 indicating dates of service and a copy of your spouses letter of disability (if applicable) with your application. For privacy reasons it is recommended that you remove your social security information from the document(s). A Human Resources Representative will review the materials and determine if you qualify for veterans Veterans Preference Policy C-3 is available here: Accommodations
The County of Riverside is committed to providing reasonable accommodation to applicants as required by the Americans with Disabilities Act (ADA) and Fair Employment and Housing Act (FEHA). Qualified individuals with disabilities who need a reasonable accommodation during the application or selection process should contact the recruiter for the position noted above. For additional information and/or to obtain the appropriate form for requesting a reasonable accommodation please visit the Disability Access Office web page located at: of Education
If using education to qualify or when requested by the recruiter upload a copy of any license(s) official/unofficial transcript(s) degrees and/or related employment documents to your NeoGov account at the time of application and before the closing date. Official or unofficial transcripts will be accepted.

If your education was completed outside of the United States you will need to provide a copy of your Foreign Education Equivalency evaluation from a member of the National Association of Credential Evaluation Services (NACES) or Association of International Credential Evaluators Inc. (AICE).

Work Authorization Requirement
Applicants must be legally authorized to work in the United States at the time of application. The County of Riverside does not participate in visa sponsorship programs including H1-B visas and will not provide sponsorship for any employment-based visas.

Equal Opportunity Employer
The County of Riverside is an Equal Opportunity Employer. It is the policy of the County of Riverside to provide equal employment opportunities for all qualified persons. All applicants will be considered without regard to race color religion sex national origin age disability sexual orientation gender gender identity gender expression marital status ancestry medical condition (cancer and genetic characteristics) genetic information or denial of medical and family care leave or any other non-job-related factors.

Pre-Employment
All employment offers are contingent upon successful completion of pre-employment requirements including a criminal background investigation which involves fingerprinting. (A felony or misdemeanor conviction may disqualify the applicant from County employment). A pre-employment physical examination and background check may be required.

Probationary Period
As an Approved Local Merit System all County of Riverside employees except those serving At Will are subject to the probationary period provisions as specified in the applicable Memorandum of Understanding County Resolution or Salary Ordinance. Temporary and Per Diem employees serve at the pleasure of the agency/department head.

General Information
Current County of Riverside and/or current employees of the hiring department may receive priority consideration. Qualified candidates may be considered for future County vacancies.

Job postings may close without notice based on application volume. Submit your complete application by the recruitment close date; no late applications are accepted. Ensure all relevant experience/education is reflected on your application/resume as a failure to demonstrate position requirements may disqualify applicants. A description of job duties directly copied from the job classification or job posting will not be considered.

Please read and follow any special application instructions on this posting. Click the Apply link located on this page to submit your application. For additional instructions on the application process examinations Veterans preference pre-employment accommodation or other employment questions please refer to our web site .

If you are experiencing technical problems you may contact the applicant support desk Monday through Friday 6 am to 5 pm Pacific Time at or toll-free 1-.